Can we detect real-time cognitive overload from screen work?
cognitive overloadeye-trackingEEGwearables
I'm exploring whether it's possible to detect real-time cognitive overload caused by prolonged reading or screen work. The idea is to combine non-invasive signals: eye movement patterns, blink rate changes, pupil response, and lightweight EEG bands. Not to diagnose anything, but to estimate a real-time cognitive load score that could say: 'take a break now' before performance collapses.
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Detecting brain-eye overload in real-time is a promising area of research. By combining eye movement patterns, blink rate changes, pupil response, and EEG signals, it's possible to estimate cognitive load. Prior work has shown that eye-tracking and EEG can be used together to detect cognitive load, with applications in fields like human-computer interaction and aviation. However, there are challenges to consider, such as signal noise, individual variability, and the need for calibration.
Key Takeaways
Combining multiple non-invasive signals can provide a more accurate estimate of cognitive load
Prior work has demonstrated the feasibility of using eye-tracking and EEG together
Challenges include signal noise, individual variability, and calibration requirements
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